Feedback control based on discrete-time state observations for stabilization of coupled regime-switching jump diffusion with Markov switching topologies

被引:1
|
作者
Wu, Yongbao [1 ]
Pi, Haotian [1 ]
Li, Wenxue [1 ]
机构
[1] Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China
关键词
coupled regime-switching jump diffusion; Markov switching topologies; discrete-time state observations; asymptotic stability; STOCHASTIC DIFFERENTIAL-EQUATIONS; DELAYED NEURAL-NETWORKS; EXPONENTIAL STABILIZATION; SYNCHRONIZATION; SYSTEMS; STABILITY; KURAMOTO; DRIVEN;
D O I
10.1093/imamci/dnaa019
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the stabilization of coupled regime-switching jump diffusion with Markov switching topologies (CRJDM) is discussed. Particularly, we remove the restrictions that each of the switching subnetwork topologies is strongly connected or contains a directed spanning tree. Furthermore, a feedback control based on discrete-time state observations is proposed to make the CRJDM asymptotically stable. In most existing literature, feedback control only depends on discrete-time observations of state processes, while switching processes are observed continuously. Different from previous literature, feedback control depends on discrete-time observations of state processes as well as switching processes in this paper. Meanwhile, based on graph theory, stationary distribution of switching processes and Lyapunov method, some sufficient conditions are deduced to ensure the asymptotic stability of CRJDM. By applying the theoretical results to second-order oscillators with Markov switching topologies, a stability criterion is obtained. Finally, the effectiveness of the results is illustrated by a numerical example.
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页码:1423 / 1446
页数:24
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